scholarly journals Energy-to-Peak State Estimation With Intermittent Measurement Outliers: The Single-Output Case

2021 ◽  
pp. 1-12
Author(s):  
Lei Zou ◽  
Zidong Wang ◽  
Hongli Dong ◽  
Qing-Long Han
Keyword(s):  
State Estimation ◽  
Single Output ◽  
Intermittent Measurement

Nonlinear State Estimation by Adaptive Embedded RBF Modules

1999 ◽  
Vol 123 (1) ◽  
pp. 44-48 ◽  
Author(s):  
Chengyu Gan ◽  
Kourosh Danai
Keyword(s):  
State Estimation ◽  
Degrees Of Freedom ◽  
Compensation Method ◽  
Estimation Model ◽  
Single Input Single Output ◽  
Single Output ◽  
Nonlinear State Estimation ◽  
Single Input ◽  
Range Of Variation ◽  
Nonlinear State

A modeling compensation method is introduced to enhance the performance of the extended Kalman filter (EKF) in coping with the uncertainty of estimation model. In this method, single-input single-output radial basis function (RBF) modules are embedded within the nonlinear estimation model to provide additional degrees of freedom for model adaptation. The weights of the embedded RBF modules are adapted by the EKF, concurrent with state estimation. This compensation method is tested in application to a benchmark problem. Simulation results indicate that the RBF modules provide the means to model the uncertain components of the estimation model within their range of variation.

Two-level state estimation for large power system. Part 1: Algorithms

1988 ◽  
Vol 135 (4) ◽  
pp. 299 ◽  
Author(s):  
K.L. Lo ◽  
M.M. Salem ◽  
R.D. McColl ◽  
A.M. Moffatt
Keyword(s):  
Power System ◽  
State Estimation ◽  
Large Power ◽  
System Part
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